Keith T. Sillar

3.9k citations
91 papers · 2.9k indexed · h-index 35
Topics
Zebrafish Biomedical Research Applications (59 papers)Neuroscience and Neuropharmacology Research (33 papers)Neurobiology and Insect Physiology Research (32 papers)

In The Last Decade

Keith T. Sillar

91 papers receiving 2.9k citations

Peers

Keith T. Sillar
Comparison fields: 5 of 109
  • Cellular and Molecular Neuroscience 1.8k
  • Cell Biology 1.3k
  • Cognitive Neuroscience 720
  • Molecular Biology 594
  • Ecology 513
Replace Carl M. Rovainen with:
Carl M. Rovainen United States
Hans J. ten Donkelaar Netherlands
Alan Roberts United Kingdom
David L. McLean United States
Pierre Meyrand France
Donald S. Faber United States
Joseph R. Fetcho United States
S. Grillner Sweden
Florian Engert United States
James T. Buchanan United States
Keith T. Sillar relative to Carl M. Rovainen United States Carl M. Rovainen's profile →
Citations per field
00.5×1.5×2.4×
Carl M. Rovainen · 1×
Citations per year

Countries citing papers authored by Keith T. Sillar

Since Specialization
Citations

This map shows the geographic impact of Keith T. Sillar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Keith T. Sillar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith T. Sillar more than expected).

Fields of papers citing papers by Keith T. Sillar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keith T. Sillar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Keith T. Sillar. The network helps show where Keith T. Sillar may publish in the future.

Co-authorship network of co-authors of Keith T. Sillar

This figure shows the co-authorship network connecting the top 25 collaborators of Keith T. Sillar. A scholar is included among the top collaborators of Keith T. Sillar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Keith T. Sillar. Keith T. Sillar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 8
2 19
3 28
4 48
5 27
6 5
7 36
8 35
9 19
10 57
11 17
12 8
13 11
14 66
15 47
16 19
17 36
18 17
19 69
20 53

About Keith T. Sillar

Keith T. Sillar is a scholar working on Cell Biology, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 91 papers that have together received 2.9k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (59 papers), Neuroscience and Neuropharmacology Research (33 papers) and Neurobiology and Insect Physiology Research (32 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.8k citations), Cell Biology (1.3k citations) and Endocrine and Autonomic Systems (462 citations). Keith T. Sillar has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include David L. McLean, Alan Roberts, A. John Simmers, Peter Skorupski, J. Wedderburn, Gareth B. Miles, Laurence D. Picton, Jonathan R. McDearmid, W. J. Heitler and Denis Combes. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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